mathlib-initiative/mathlib-tactics huggingface dataset:
Module: Mathlib.Analysis.Convex.Slope

Goal state before:
pp: 𝕜 : Type u_1
inst✝² : Field 𝕜
inst✝¹ : LinearOrder 𝕜
inst✝ : IsStrictOrderedRing 𝕜
s : Set 𝕜
f : 𝕜 → 𝕜
hs : Convex 𝕜 s
hf : ∀ {x y z : 𝕜}, x ∈ s → z ∈ s → x < y → y < z → (f y - f x) / (y - x) ≤ (f z - f y) / (z - y)
x : 𝕜
hx : x ∈ s
z : 𝕜
hz : z ∈ s
hxz : x < z
a b : 𝕜
ha : 0 < a
hb : 0 < b
hab : a + b = 1
⊢ f (a • x + b • z) ≤ a • f x + b • f z

Tactic:
simp only [smul_eq_mul]
    have hxy : x < a * x + b * z := by linear_combination b * hxz - x * hab
    have hyz : a * x + b * z < z := by linear_combination a * hxz + z * hab
    have key := hf hx hz hxy hyz
    field_simp [sub_pos.2 hxy, sub_pos.2 hyz] at key
    apply le_of_mul_le_mul_left ?_ (sub_pos.2 hxz)
    linear_combination key + (- f x * z + x * f z) * hab

Goal state after:
Module: Mathlib.Analysis.Convex.SpecificFunctions.Basic

Goal state before:
pp: p : ℝ
hp : 1 < p
⊢ ∀ {x y z : ℝ}, x ∈ Ici 0 → z ∈ Ici 0 → x < y → y < z → (y ^ p - x ^ p) / (y - x) < (z ^ p - y ^ p) / (z - y)

Tactic:
intro x

Goal state after:
p : ℝ
hp : 1 < p
x : ℝ
⊢ ∀ {y z : ℝ}, x ∈ Ici 0 → z ∈ Ici 0 → x < y → y < z → (y ^ p - x ^ p) / (y - x) < (z ^ p - y ^ p) / (z - y)
Module: Mathlib.Analysis.Convex.SpecificFunctions.Basic

Goal state before:
pp: p : ℝ
hp : 1 < p
x y z : ℝ
hx : 0 ≤ x
hz : 0 ≤ z
hxy : x < y
hyz : y < z
hy : 0 < y
hy' : 0 < y ^ p
q : 0 < y - x
⊢ -1 ≤ x / y - 1

pp: p : ℝ
hp : 1 < p
x y z : ℝ
hx : 0 ≤ x
hz : 0 ≤ z
hxy : x < y
hyz : y < z
hy : 0 < y
hy' : 0 < y ^ p
q : 0 < y - x
⊢ x / y - 1 ≠ 0

Tactic:
· rw [le_sub_iff_add_le, neg_add_cancel, div_nonneg_iff]
      exact Or.inl ⟨hx, hy.le⟩

Goal state after:
p : ℝ
hp : 1 < p
x y z : ℝ
hx : 0 ≤ x
hz : 0 ≤ z
hxy : x < y
hyz : y < z
hy : 0 < y
hy' : 0 < y ^ p
q : 0 < y - x
⊢ x / y - 1 ≠ 0
Module: Mathlib.Analysis.Convex.SpecificFunctions.Basic

Goal state before:
pp: ⊢ ∀ ⦃x : ℝ⦄,
    x ∈ Iio 0 →
      ∀ ⦃y : ℝ⦄,
        y ∈ Iio 0 → x ≠ y → ∀ ⦃a b : ℝ⦄, 0 < a → 0 < b → a + b = 1 → a • log x + b • log y < log (a • x + b • y)

Tactic:
intro x

Goal state after:
x : ℝ
⊢ x ∈ Iio 0 →
    ∀ ⦃y : ℝ⦄, y ∈ Iio 0 → x ≠ y → ∀ ⦃a b : ℝ⦄, 0 < a → 0 < b → a + b = 1 → a • log x + b • log y < log (a • x + b • y)
Module: Mathlib.MeasureTheory.Function.LpSeminorm.Basic

Goal state before:
pp: α : Type u_1
E : Type u_4
m0 : MeasurableSpace α
μ : Measure α
inst✝² : NormedAddCommGroup E
inst✝¹ : MeasurableSpace E
inst✝ : OpensMeasurableSpace E
R : ℝ≥0
p : ℝ≥0∞
hp : p ≠ 0
f : ℕ → α → E
hfmeas : ∀ (n : ℕ), Measurable (f n)
hbdd : ∀ (n : ℕ), eLpNorm (f n) p μ ≤ ↑R
hp' : ¬p = ∞
x : α
hx : liminf (fun n ↦ ‖f n x‖ₑ) atTop ^ p.toReal < ∞
hppos : 0 < p.toReal
this : liminf (fun n ↦ ‖f n x‖ₑ ^ p.toReal) atTop = liminf (fun n ↦ ‖f n x‖ₑ) atTop ^ p.toReal
⊢ (liminf (fun x_1 ↦ ‖f x_1 x‖ₑ) atTop ^ p.toReal) ^ p.toReal⁻¹ < ∞

Tactic:
exact ENNReal.rpow_lt_top_of_nonneg (inv_nonneg.2 hppos.le) hx.ne

Goal state after:
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: p : ℝ
a b : ℝ≥0
hab : a + b ≤ 1
hp1 : 1 ≤ p
⊢ a ^ p + b ^ p ≤ 1

Tactic:
by
  have h_le_one : ∀ x : ℝ≥0, x ≤ 1 → x ^ p ≤ x := fun x hx => rpow_le_self_of_le_one hx hp1
  have ha : a ≤ 1 := (self_le_add_right a b).trans hab
  have hb : b ≤ 1 := (self_le_add_left b a).trans hab
  exact (add_le_add (h_le_one a ha) (h_le_one b hb)).trans hab

Goal state after:
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_1
inst✝ : MeasurableSpace α
μ : Measure α
p : ℝ
hp0 : 0 ≤ p
f : α → ℝ≥0∞
hf : AEMeasurable f μ
hf_zero : (fun x ↦ f x ^ p) =ᵐ[μ] 0
x : α
⊢ f x ^ p = 0 → f x = 0

Tactic:
← not_imp_not

Goal state after:
α : Type u_1
inst✝ : MeasurableSpace α
μ : Measure α
p : ℝ
hp0 : 0 ≤ p
f : α → ℝ≥0∞
hf : AEMeasurable f μ
hf_zero : (fun x ↦ f x ^ p) =ᵐ[μ] 0
x : α
⊢ ¬f x = 0 → ¬f x ^ p = 0
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: case neg
α : Type u_1
inst✝ : MeasurableSpace α
μ : Measure α
p q : ℝ
hpq : p.HolderConjugate q
f g : α → ℝ≥0∞
hf : AEMeasurable f μ
hg : AEMeasurable g μ
hf_zero : ¬∫⁻ (a : α), f a ^ p ∂μ = 0
hg_zero : ¬∫⁻ (a : α), g a ^ q ∂μ = 0
hf_top : ¬∫⁻ (a : α), f a ^ p ∂μ = ∞
⊢ ∫⁻ (a : α), (f * g) a ∂μ ≤ (∫⁻ (a : α), f a ^ p ∂μ) ^ (1 / p) * (∫⁻ (a : α), g a ^ q ∂μ) ^ (1 / q)

Tactic:
by_cases hg_top : ∫⁻ a, g a ^ q ∂μ = ⊤

Goal state after:
case pos
α : Type u_1
inst✝ : MeasurableSpace α
μ : Measure α
p q : ℝ
hpq : p.HolderConjugate q
f g : α → ℝ≥0∞
hf : AEMeasurable f μ
hg : AEMeasurable g μ
hf_zero : ¬∫⁻ (a : α), f a ^ p ∂μ = 0
hg_zero : ¬∫⁻ (a : α), g a ^ q ∂μ = 0
hf_top : ¬∫⁻ (a : α), f a ^ p ∂μ = ∞
hg_top : ∫⁻ (a : α), g a ^ q ∂μ = ∞
⊢ ∫⁻ (a : α), (f * g) a ∂μ ≤ (∫⁻ (a : α), f a ^ p ∂μ) ^ (1 / p) * (∫⁻ (a : α), g a ^ q ∂μ) ^ (1 / q)

case neg
α : Type u_1
inst✝ : MeasurableSpace α
μ : Measure α
p q : ℝ
hpq : p.HolderConjugate q
f g : α → ℝ≥0∞
hf : AEMeasurable f μ
hg : AEMeasurable g μ
hf_zero : ¬∫⁻ (a : α), f a ^ p ∂μ = 0
hg_zero : ¬∫⁻ (a : α), g a ^ q ∂μ = 0
hf_top : ¬∫⁻ (a : α), f a ^ p ∂μ = ∞
hg_top : ¬∫⁻ (a : α), g a ^ q ∂μ = ∞
⊢ ∫⁻ (a : α), (f * g) a ∂μ ≤ (∫⁻ (a : α), f a ^ p ∂μ) ^ (1 / p) * (∫⁻ (a : α), g a ^ q ∂μ) ^ (1 / q)
Module: Mathlib.Analysis.MeanInequalitiesPow

Goal state before:
pp: case refine_2
ι : Type u
s : Finset ι
w z : ι → ℝ≥0∞
hw' : ∑ i ∈ s, w i = 1
p : ℝ
hp : 1 ≤ p
hp_pos : 0 < p
hp_nonneg : 0 ≤ p
hp_not_neg : ¬p < 0
h_top_iff_rpow_top : ∀ i ∈ s, w i * z i = ∞ ↔ w i * z i ^ p = ∞
h_top_rpow_sum : (∑ i ∈ s, w i * z i) ^ p ≠ ∞
a✝ : ∑ i ∈ s, w i * z i ^ p ≠ ∞
⊢ ((∑ i ∈ s, w i * z i) ^ p).toNNReal ≤ (∑ i ∈ s, w i * z i ^ p).toNNReal

Tactic:
have h_top : ∀ a : ι, a ∈ s → w a * z a ≠ ⊤ :=
      haveI h_top_sum : ∑ i ∈ s, w i * z i ≠ ⊤ := by
        intro h
        rw [h, top_rpow_of_pos hp_pos] at h_top_rpow_sum
        exact h_top_rpow_sum rfl
      fun a ha => (lt_top_of_sum_ne_top h_top_sum ha).ne

Goal state after:
case refine_2
ι : Type u
s : Finset ι
w z : ι → ℝ≥0∞
hw' : ∑ i ∈ s, w i = 1
p : ℝ
hp : 1 ≤ p
hp_pos : 0 < p
hp_nonneg : 0 ≤ p
hp_not_neg : ¬p < 0
h_top_iff_rpow_top : ∀ i ∈ s, w i * z i = ∞ ↔ w i * z i ^ p = ∞
h_top_rpow_sum : (∑ i ∈ s, w i * z i) ^ p ≠ ∞
a✝ : ∑ i ∈ s, w i * z i ^ p ≠ ∞
h_top : ∀ a ∈ s, w a * z a ≠ ∞
⊢ ((∑ i ∈ s, w i * z i) ^ p).toNNReal ≤ (∑ i ∈ s, w i * z i ^ p).toNNReal
Module: Mathlib.Analysis.MeanInequalities

Goal state before:
pp: case e'_2.mp
ι : Type u
s : Finset ι
w z : ι → ℝ
hw : ∀ i ∈ s, 0 < w i
hw' : ∑ i ∈ s, w i = 1
hz : ∀ i ∈ s, 0 ≤ z i
A : ∀ i ∈ s, z i = 0 → w i = 0
hz' : ∀ i ∈ s, 0 < z i
this : ∏ x ∈ s, rexp (log (z x) * w x) = ∑ x ∈ s, w x * rexp (log (z x)) ↔ ∀ j ∈ s, log (z j) = ∑ x ∈ s, log (z x) * w x
h : ∀ j ∈ s, z j = ∑ i ∈ s, w i * z i
j : ι
hj : j ∈ s
⊢ ∀ x ∈ s, w x * log (z j) = log (z x) * w x

Tactic:
intro x

Goal state after:
case e'_2.mp
ι : Type u
s : Finset ι
w z : ι → ℝ
hw : ∀ i ∈ s, 0 < w i
hw' : ∑ i ∈ s, w i = 1
hz : ∀ i ∈ s, 0 ≤ z i
A : ∀ i ∈ s, z i = 0 → w i = 0
hz' : ∀ i ∈ s, 0 < z i
this : ∏ x ∈ s, rexp (log (z x) * w x) = ∑ x ∈ s, w x * rexp (log (z x)) ↔ ∀ j ∈ s, log (z j) = ∑ x ∈ s, log (z x) * w x
h : ∀ j ∈ s, z j = ∑ i ∈ s, w i * z i
j : ι
hj : j ∈ s
x : ι
⊢ x ∈ s → w x * log (z j) = log (z x) * w x
Module: Mathlib.Analysis.MeanInequalities

Goal state before:
pp: case e'_2.mpr
ι : Type u
s : Finset ι
w z : ι → ℝ
hw : ∀ i ∈ s, 0 < w i
hw' : ∑ i ∈ s, w i = 1
hz : ∀ i ∈ s, 0 ≤ z i
A : ∀ i ∈ s, z i = 0 → w i = 0
hz' : ∀ i ∈ s, 0 < z i
this : ∏ x ∈ s, rexp (log (z x) * w x) = ∑ x ∈ s, w x * rexp (log (z x)) ↔ ∀ j ∈ s, log (z j) = ∑ x ∈ s, log (z x) * w x
h : ∀ j ∈ s, log (z j) = ∑ x ∈ s, log (z x) * w x
j : ι
hj : j ∈ s
⊢ ∀ x ∈ s, w x * z j = w x * z x

Tactic:
intro x

Goal state after:
case e'_2.mpr
ι : Type u
s : Finset ι
w z : ι → ℝ
hw : ∀ i ∈ s, 0 < w i
hw' : ∑ i ∈ s, w i = 1
hz : ∀ i ∈ s, 0 ≤ z i
A : ∀ i ∈ s, z i = 0 → w i = 0
hz' : ∀ i ∈ s, 0 < z i
this : ∏ x ∈ s, rexp (log (z x) * w x) = ∑ x ∈ s, w x * rexp (log (z x)) ↔ ∀ j ∈ s, log (z j) = ∑ x ∈ s, log (z x) * w x
h : ∀ j ∈ s, log (z j) = ∑ x ∈ s, log (z x) * w x
j : ι
hj : j ∈ s
x : ι
⊢ x ∈ s → w x * z j = w x * z x
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_2
ι : Type u_3
inst✝ : MeasurableSpace α
μ : Measure α
f : ι → α → ℝ≥0∞
i₀ : ι
s : Finset ι
hi₀ : i₀ ∉ s
ih :
  (∀ i ∈ s, AEMeasurable (f i) μ) →
    ∀ {p : ι → ℝ},
      ∑ i ∈ s, p i = 1 →
        (∀ i ∈ s, 0 ≤ p i) → ∫⁻ (a : α), ∏ i ∈ s, f i a ^ p i ∂μ ≤ ∏ i ∈ s, (∫⁻ (a : α), f i a ∂μ) ^ p i
hf : ∀ i ∈ insert i₀ s, AEMeasurable (f i) μ
p : ι → ℝ
hp : ∑ i ∈ insert i₀ s, p i = 1
h2p✝ : ∀ i ∈ insert i₀ s, 0 ≤ p i
h2i₀ : p i₀ = 1
h2p : ∀ i ∈ s, p i = 0
x : α
i : ι
hi : i ∈ s
⊢ f i x ^ 0 = 1

Tactic:
ENNReal.rpow_zero

Goal state after:
α : Type u_2
ι : Type u_3
inst✝ : MeasurableSpace α
μ : Measure α
f : ι → α → ℝ≥0∞
i₀ : ι
s : Finset ι
hi₀ : i₀ ∉ s
ih :
  (∀ i ∈ s, AEMeasurable (f i) μ) →
    ∀ {p : ι → ℝ},
      ∑ i ∈ s, p i = 1 →
        (∀ i ∈ s, 0 ≤ p i) → ∫⁻ (a : α), ∏ i ∈ s, f i a ^ p i ∂μ ≤ ∏ i ∈ s, (∫⁻ (a : α), f i a ∂μ) ^ p i
hf : ∀ i ∈ insert i₀ s, AEMeasurable (f i) μ
p : ι → ℝ
hp : ∑ i ∈ insert i₀ s, p i = 1
h2p✝ : ∀ i ∈ insert i₀ s, 0 ≤ p i
h2i₀ : p i₀ = 1
h2p : ∀ i ∈ s, p i = 0
x : α
i : ι
hi : i ∈ s
⊢ 1 = 1
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_2
ι : Type u_3
inst✝ : MeasurableSpace α
μ : Measure α
f : ι → α → ℝ≥0∞
i₀ : ι
s : Finset ι
hi₀ : i₀ ∉ s
ih :
  (∀ i ∈ s, AEMeasurable (f i) μ) →
    ∀ {p : ι → ℝ},
      ∑ i ∈ s, p i = 1 →
        (∀ i ∈ s, 0 ≤ p i) → ∫⁻ (a : α), ∏ i ∈ s, f i a ^ p i ∂μ ≤ ∏ i ∈ s, (∫⁻ (a : α), f i a ∂μ) ^ p i
hf : ∀ i ∈ insert i₀ s, AEMeasurable (f i) μ
p : ι → ℝ
hp : ∑ i ∈ insert i₀ s, p i = 1
h2p✝ : ∀ i ∈ insert i₀ s, 0 ≤ p i
h2i₀ : p i₀ = 1
h2p : ∀ i ∈ s, p i = 0
i : ι
hi : i ∈ s
⊢ 1 = (∫⁻ (a : α), f i a ∂μ) ^ 0

Tactic:
ENNReal.rpow_zero

Goal state after:
α : Type u_2
ι : Type u_3
inst✝ : MeasurableSpace α
μ : Measure α
f : ι → α → ℝ≥0∞
i₀ : ι
s : Finset ι
hi₀ : i₀ ∉ s
ih :
  (∀ i ∈ s, AEMeasurable (f i) μ) →
    ∀ {p : ι → ℝ},
      ∑ i ∈ s, p i = 1 →
        (∀ i ∈ s, 0 ≤ p i) → ∫⁻ (a : α), ∏ i ∈ s, f i a ^ p i ∂μ ≤ ∏ i ∈ s, (∫⁻ (a : α), f i a ∂μ) ^ p i
hf : ∀ i ∈ insert i₀ s, AEMeasurable (f i) μ
p : ι → ℝ
hp : ∑ i ∈ insert i₀ s, p i = 1
h2p✝ : ∀ i ∈ insert i₀ s, 0 ≤ p i
h2i₀ : p i₀ = 1
h2p : ∀ i ∈ s, p i = 0
i : ι
hi : i ∈ s
⊢ 1 = 1
Module: Mathlib.MeasureTheory.Function.LpSeminorm.TriangleInequality

Goal state before:
pp: α : Type u_1
ε : Type u_3
m : MeasurableSpace α
inst✝¹ : TopologicalSpace ε
inst✝ : ESeminormedAddMonoid ε
μ : Measure α
f g : α → ε
x : α
⊢ (fun x ↦ ‖(f + g) x‖ₑ) x ≤ ((fun x ↦ ‖f x‖ₑ) + fun x ↦ ‖g x‖ₑ) x

Tactic:
simp_rw [Pi.add_apply]

Goal state after:
α : Type u_1
ε : Type u_3
m : MeasurableSpace α
inst✝¹ : TopologicalSpace ε
inst✝ : ESeminormedAddMonoid ε
μ : Measure α
f g : α → ε
x : α
⊢ ‖f x + g x‖ₑ ≤ ‖f x‖ₑ + ‖g x‖ₑ
Module: Mathlib.MeasureTheory.Function.LpSeminorm.CompareExp

Goal state before:
pp: α : Type u_1
ε : Type u_2
m : MeasurableSpace α
μ : Measure α
f : α → ε
inst✝¹ : TopologicalSpace ε
inst✝ : ContinuousENorm ε
q : ℝ
hq_pos : 0 < q
h_le : ∫⁻ (a : α), ‖f a‖ₑ ^ q ∂μ ≤ ∫⁻ (x : α), eLpNormEssSup f μ ^ q ∂μ
⊢ (∫⁻ (a : α), ‖f a‖ₑ ^ q ∂μ) ^ (1 / q) ≤ eLpNormEssSup f μ * μ Set.univ ^ (1 / q)

Tactic:
← ENNReal.rpow_one (eLpNormEssSup f μ)

Goal state after:
α : Type u_1
ε : Type u_2
m : MeasurableSpace α
μ : Measure α
f : α → ε
inst✝¹ : TopologicalSpace ε
inst✝ : ContinuousENorm ε
q : ℝ
hq_pos : 0 < q
h_le : ∫⁻ (a : α), ‖f a‖ₑ ^ q ∂μ ≤ ∫⁻ (x : α), eLpNormEssSup f μ ^ q ∂μ
⊢ (∫⁻ (a : α), ‖f a‖ₑ ^ q ∂μ) ^ (1 / q) ≤ eLpNormEssSup f μ ^ 1 * μ Set.univ ^ (1 / q)
Module: Mathlib.MeasureTheory.Function.LpSeminorm.CompareExp

Goal state before:
pp: case inr.inl
α : Type u_1
ε : Type u_2
m : MeasurableSpace α
μ : Measure α
f : α → ε
inst✝¹ : TopologicalSpace ε
inst✝ : ContinuousENorm ε
p : ℝ≥0∞
hf : AEStronglyMeasurable f μ
hp0 : p ≠ 0
hpq : p ≤ ∞
hq0_lt : 0 < ∞
⊢ eLpNorm f p μ ≤ eLpNorm f ∞ μ * μ Set.univ ^ p.toReal⁻¹

Tactic:
obtain rfl | hp_top := eq_or_ne p ∞

Goal state after:
case inr.inl.inl
α : Type u_1
ε : Type u_2
m : MeasurableSpace α
μ : Measure α
f : α → ε
inst✝¹ : TopologicalSpace ε
inst✝ : ContinuousENorm ε
hf : AEStronglyMeasurable f μ
hq0_lt : 0 < ∞
hp0 : ∞ ≠ 0
hpq : ∞ ≤ ∞
⊢ eLpNorm f ∞ μ ≤ eLpNorm f ∞ μ * μ Set.univ ^ ∞.toReal⁻¹

case inr.inl.inr
α : Type u_1
ε : Type u_2
m : MeasurableSpace α
μ : Measure α
f : α → ε
inst✝¹ : TopologicalSpace ε
inst✝ : ContinuousENorm ε
p : ℝ≥0∞
hf : AEStronglyMeasurable f μ
hp0 : p ≠ 0
hpq : p ≤ ∞
hq0_lt : 0 < ∞
hp_top : p ≠ ∞
⊢ eLpNorm f p μ ≤ eLpNorm f ∞ μ * μ Set.univ ^ p.toReal⁻¹
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_2
inst✝ : MeasurableSpace α
p q r : ℝ
hp0_lt : 0 < p
hpq : p < q
hpqr : 1 / p = 1 / q + 1 / r
μ : Measure α
f g : α → ℝ≥0∞
hf : AEMeasurable f μ
hg : AEMeasurable g μ
hp0_ne : p ≠ 0
hp0 : 0 ≤ p
hq0_lt : 0 < q
hq0_ne : q ≠ 0
h_one_div_r : 1 / r = 1 / p - 1 / q
p2 : ℝ := q / p
q2 : ℝ := p2.conjExponent
hp2q2 : p2.HolderConjugate q2
⊢ (∫⁻ (a : α), (f a * g a) ^ p ∂μ) ^ (1 / p) = (∫⁻ (a : α), f a ^ p * g a ^ p ∂μ) ^ (1 / p)

Tactic:
ENNReal.mul_rpow_of_nonneg _ _ hp0

Goal state after:
Module: Mathlib.MeasureTheory.Integral.MeanInequalities

Goal state before:
pp: α : Type u_1
inst✝ : MeasurableSpace α
μ : Measure α
p : ℝ
f g : α → ℝ≥0∞
hf : AEMeasurable f μ
hp0 : 0 ≤ p
hp1 : p ≤ 1
⊢ (∫⁻ (a : α), (f + g) a ^ p ∂μ) ^ (1 / p) ≤
    2 ^ (1 / p - 1) * ((∫⁻ (a : α), f a ^ p ∂μ) ^ (1 / p) + (∫⁻ (a : α), g a ^ p ∂μ) ^ (1 / p))

Tactic:
rcases eq_or_lt_of_le hp0 with (rfl | hp)

Goal state after:
case inl
α : Type u_1
inst✝ : MeasurableSpace α
μ : Measure α
f g : α → ℝ≥0∞
hf : AEMeasurable f μ
hp0 : 0 ≤ 0
hp1 : 0 ≤ 1
⊢ (∫⁻ (a : α), (f + g) a ^ 0 ∂μ) ^ (1 / 0) ≤
    2 ^ (1 / 0 - 1) * ((∫⁻ (a : α), f a ^ 0 ∂μ) ^ (1 / 0) + (∫⁻ (a : α), g a ^ 0 ∂μ) ^ (1 / 0))

case inr
α : Type u_1
inst✝ : MeasurableSpace α
μ : Measure α
p : ℝ
f g : α → ℝ≥0∞
hf : AEMeasurable f μ
hp0 : 0 ≤ p
hp1 : p ≤ 1
hp : 0 < p
⊢ (∫⁻ (a : α), (f + g) a ^ p ∂μ) ^ (1 / p) ≤
    2 ^ (1 / p - 1) * ((∫⁻ (a : α), f a ^ p ∂μ) ^ (1 / p) + (∫⁻ (a : α), g a ^ p ∂μ) ^ (1 / p))
Module: Mathlib.MeasureTheory.Function.ConvergenceInMeasure

Goal state before:
pp: α : Type u_1
ι : Type u_2
E : Type u_4
m : MeasurableSpace α
μ : Measure α
inst✝ : EDist E
f : ι → α → E
l : Filter ι
g : α → E
h : ∀ (ε : ℝ≥0∞), 0 < ε → ε ≠ ∞ → Tendsto (fun i ↦ μ {x | ε ≤ edist (f i x) (g x)}) l (𝓝 0)
⊢ TendstoInMeasure μ f l g

Tactic:
intro ε hε

Goal state after:
α : Type u_1
ι : Type u_2
E : Type u_4
m : MeasurableSpace α
μ : Measure α
inst✝ : EDist E
f : ι → α → E
l : Filter ι
g : α → E
h : ∀ (ε : ℝ≥0∞), 0 < ε → ε ≠ ∞ → Tendsto (fun i ↦ μ {x | ε ≤ edist (f i x) (g x)}) l (𝓝 0)
ε : ℝ≥0∞
hε : 0 < ε
⊢ Tendsto (fun i ↦ μ {x | ε ≤ edist (f i x) (g x)}) l (𝓝 0)
Module: Mathlib.MeasureTheory.Function.LpSpace.Complete

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
p : ℝ≥0∞
μ : Measure α
E : Type u_3
inst✝¹ : NormedAddCommGroup E
ι : Type u_4
fi : Filter ι
inst✝ : Fact (1 ≤ p)
f : ι → ↥(Lp E p μ)
f_lim : α → E
f_lim_ℒp : MemLp f_lim p μ
h_eq : (fun n ↦ eLpNorm (↑↑(f n) - ↑↑(MemLp.toLp f_lim f_lim_ℒp)) p μ) = fun n ↦ eLpNorm (↑↑(f n) - f_lim) p μ
⊢ Tendsto (fun n ↦ eLpNorm (↑↑(f n) - ↑↑(MemLp.toLp f_lim f_lim_ℒp)) p μ) fi (𝓝 0) ↔
    Tendsto (fun n ↦ eLpNorm (↑↑(f n) - f_lim) p μ) fi (𝓝 0)

Tactic:
by
    rw [h_eq]

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConvergenceInMeasure

Goal state before:
pp: α : Type u_1
ι : Type u_2
E : Type u_4
m : MeasurableSpace α
μ : Measure α
inst✝ : EDist E
l : Filter ι
f f' : ι → α → E
g g' : α → E
h_left : ∀ᶠ (i : ι) in l, f i =ᵐ[μ] f' i
h_right : g =ᵐ[μ] g'
h_tendsto : TendstoInMeasure μ f l g
⊢ TendstoInMeasure μ f' l g'

Tactic:
intro ε hε

Goal state after:
α : Type u_1
ι : Type u_2
E : Type u_4
m : MeasurableSpace α
μ : Measure α
inst✝ : EDist E
l : Filter ι
f f' : ι → α → E
g g' : α → E
h_left : ∀ᶠ (i : ι) in l, f i =ᵐ[μ] f' i
h_right : g =ᵐ[μ] g'
h_tendsto : TendstoInMeasure μ f l g
ε : ℝ≥0∞
hε : 0 < ε
⊢ Tendsto (fun i ↦ μ {x | ε ≤ edist (f' i x) (g' x)}) l (𝓝 0)
Module: Mathlib.MeasureTheory.Function.ConvergenceInMeasure

Goal state before:
pp: α : Type u_1
ι : Type u_2
E : Type u_4
m : MeasurableSpace α
μ : Measure α
inst✝ : EDist E
l : Filter ι
f f' : ι → α → E
g g' : α → E
h_left : ∀ᶠ (i : ι) in l, f i =ᵐ[μ] f' i
h_right : g =ᵐ[μ] g'
h_tendsto : TendstoInMeasure μ f l g
ε : ℝ≥0∞
hε : 0 < ε
i : ι
h_ae_eq : f i =ᵐ[μ] f' i
⊢ μ {x | ε ≤ edist (f' i x) (g' x)} = μ {x | ε ≤ edist (f i x) (g x)}

Tactic:
refine measure_congr ?_

Goal state after:
α : Type u_1
ι : Type u_2
E : Type u_4
m : MeasurableSpace α
μ : Measure α
inst✝ : EDist E
l : Filter ι
f f' : ι → α → E
g g' : α → E
h_left : ∀ᶠ (i : ι) in l, f i =ᵐ[μ] f' i
h_right : g =ᵐ[μ] g'
h_tendsto : TendstoInMeasure μ f l g
ε : ℝ≥0∞
hε : 0 < ε
i : ι
h_ae_eq : f i =ᵐ[μ] f' i
⊢ {x | ε ≤ edist (f' i x) (g' x)} =ᵐ[μ] {x | ε ≤ edist (f i x) (g x)}
Module: Mathlib.MeasureTheory.Function.ConvergenceInMeasure

Goal state before:
pp: case neg
α : Type u_1
E : Type u_4
m : MeasurableSpace α
μ : Measure α
inst✝¹ : PseudoEMetricSpace E
f : ℕ → α → E
g : α → E
inst✝ : IsFiniteMeasure μ
hf : ∀ (n : ℕ), Measurable fun a ↦ edist (f n a) (g a)
hfg : ∀ᵐ (x : α) ∂μ, Tendsto (fun n ↦ f n x) atTop (𝓝 (g x))
ε : ℝ≥0∞
hε : 0 < ε
δ : ℝ≥0
hδ : 0 < ↑δ
t : Set α
left✝ : MeasurableSet t
ht : μ t ≤ ↑δ
hunif : ∀ ε > 0, ∀ᶠ (n : ℕ) in atTop, ∀ x ∈ tᶜ, edist (g x) (f n x) < ε
N : ℕ
hN : ∀ (b : ℕ), N ≤ b → ∀ x ∈ tᶜ, edist (g x) (f b x) < ε
n : ℕ
hn : n ≥ N
⊢ tᶜ ⊆ {x | ε ≤ edist (f n x) (g x)}ᶜ

Tactic:
intro x

Goal state after:
case neg
α : Type u_1
E : Type u_4
m : MeasurableSpace α
μ : Measure α
inst✝¹ : PseudoEMetricSpace E
f : ℕ → α → E
g : α → E
inst✝ : IsFiniteMeasure μ
hf : ∀ (n : ℕ), Measurable fun a ↦ edist (f n a) (g a)
hfg : ∀ᵐ (x : α) ∂μ, Tendsto (fun n ↦ f n x) atTop (𝓝 (g x))
ε : ℝ≥0∞
hε : 0 < ε
δ : ℝ≥0
hδ : 0 < ↑δ
t : Set α
left✝ : MeasurableSet t
ht : μ t ≤ ↑δ
hunif : ∀ ε > 0, ∀ᶠ (n : ℕ) in atTop, ∀ x ∈ tᶜ, edist (g x) (f n x) < ε
N : ℕ
hN : ∀ (b : ℕ), N ≤ b → ∀ x ∈ tᶜ, edist (g x) (f b x) < ε
n : ℕ
hn : n ≥ N
x : α
⊢ x ∈ tᶜ → x ∈ {x | ε ≤ edist (f n x) (g x)}ᶜ
Module: Mathlib.MeasureTheory.Function.LpSpace.Basic

Goal state before:
pp: p : ℝ≥0∞
α : Type u_6
E : Type u_7
F : Type u_8
K' : ℝ≥0
inst✝² : MeasurableSpace α
μ : Measure α
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedAddCommGroup F
f : α → E
g : E → F
hL : MemLp (g ∘ f) p μ
hg : UniformContinuous g
hg' : AntilipschitzWith K' g
g0 : g 0 = 0
⊢ ∀ (x : α), ‖f x‖ ≤ ↑K' * ‖g (f x)‖

Tactic:
intro x

Goal state after:
p : ℝ≥0∞
α : Type u_6
E : Type u_7
F : Type u_8
K' : ℝ≥0
inst✝² : MeasurableSpace α
μ : Measure α
inst✝¹ : NormedAddCommGroup E
inst✝ : NormedAddCommGroup F
f : α → E
g : E → F
hL : MemLp (g ∘ f) p μ
hg : UniformContinuous g
hg' : AntilipschitzWith K' g
g0 : g 0 = 0
x : α
⊢ ‖f x‖ ≤ ↑K' * ‖g (f x)‖
Module: Mathlib.MeasureTheory.Function.LpOrder

Goal state before:
pp: α : Type u_1
E : Type u_2
m : MeasurableSpace α
μ : Measure α
p : ℝ≥0∞
inst✝¹ : NormedAddCommGroup E
inst✝ : PartialOrder E
f : ↥(Lp E p μ)
⊢ 0 ≤ᵐ[μ] ↑↑f ↔ ↑↑0 ≤ᵐ[μ] ↑↑f

Tactic:
exact ⟨(Lp.coeFn_zero E p μ).trans_le, (Lp.coeFn_zero E p μ).symm.trans_le⟩

Goal state after:
Module: Mathlib.MeasureTheory.Function.ConvergenceInMeasure

Goal state before:
pp: α : Type u_1
ι : Type u_2
E : Type u_4
m : MeasurableSpace α
μ : Measure α
p : ℝ≥0∞
f : ι → α → E
g : α → E
inst✝ : SeminormedAddCommGroup E
hp_ne_zero : p ≠ 0
hp_ne_top : p ≠ ∞
hf : ∀ (n : ι), AEStronglyMeasurable (f n) μ
hg : AEStronglyMeasurable g μ
l : Filter ι
hfg : Tendsto (fun n ↦ eLpNorm (f n - g) p μ) l (𝓝 0)
⊢ (fun n ↦ eLpNorm (AEStronglyMeasurable.mk (f n) ⋯ - AEStronglyMeasurable.mk g hg) p μ) = fun n ↦ eLpNorm (f n - g) p μ

Tactic:
ext1 n

Goal state after:
α : Type u_1
ι : Type u_2
E : Type u_4
m : MeasurableSpace α
μ : Measure α
p : ℝ≥0∞
f : ι → α → E
g : α → E
inst✝ : SeminormedAddCommGroup E
hp_ne_zero : p ≠ 0
hp_ne_top : p ≠ ∞
hf : ∀ (n : ι), AEStronglyMeasurable (f n) μ
hg : AEStronglyMeasurable g μ
l : Filter ι
hfg : Tendsto (fun n ↦ eLpNorm (f n - g) p μ) l (𝓝 0)
n : ι
⊢ eLpNorm (AEStronglyMeasurable.mk (f n) ⋯ - AEStronglyMeasurable.mk g hg) p μ = eLpNorm (f n - g) p μ
Module: Mathlib.MeasureTheory.Function.ConvergenceInMeasure

Goal state before:
pp: α : Type u_1
ι : Type u_2
m : MeasurableSpace α
μ : Measure α
E : Type u_5
inst✝ : SeminormedAddCommGroup E
f : ι → α → E
g : α → E
l : Filter ι
δ : ℝ≥0∞
hδ : 0 < δ
hδ_top : δ ≠ ∞
hfg : ∀ ε > 0, ∀ᶠ (x : ι) in l, essSup (fun x_1 ↦ ‖(f x - g) x_1‖ₑ) μ ≤ ε
⊢ ∀ ε > 0, ∀ᶠ (x : ι) in l, μ {x_1 | δ ≤ edist (f x x_1) (g x_1)} ≤ ε

Tactic:
intro ε hε

Goal state after:
α : Type u_1
ι : Type u_2
m : MeasurableSpace α
μ : Measure α
E : Type u_5
inst✝ : SeminormedAddCommGroup E
f : ι → α → E
g : α → E
l : Filter ι
δ : ℝ≥0∞
hδ : 0 < δ
hδ_top : δ ≠ ∞
hfg : ∀ ε > 0, ∀ᶠ (x : ι) in l, essSup (fun x_1 ↦ ‖(f x - g) x_1‖ₑ) μ ≤ ε
ε : ℝ≥0∞
hε : ε > 0
⊢ ∀ᶠ (x : ι) in l, μ {x_1 | δ ≤ edist (f x x_1) (g x_1)} ≤ ε
Module: Mathlib.MeasureTheory.Function.LpSpace.Complete

Goal state before:
pp: α : Type u_1
m : MeasurableSpace α
p : ℝ≥0∞
μ : Measure α
E : Type u_3
inst✝ : NormedAddCommGroup E
f : ℕ → α → E
hf : ∀ (n : ℕ), AEStronglyMeasurable (f n) μ
f_lim : α → E
B : ℕ → ℝ≥0∞
hB : ∑' (i : ℕ), B i ≠ ∞
h_cau : ∀ (N n m_1 : ℕ), N ≤ n → N ≤ m_1 → eLpNorm (f n - f m_1) p μ < B N
h_lim : ∀ᵐ (x : α) ∂μ, Tendsto (fun n ↦ f n x) atTop (𝓝 (f_lim x))
⊢ ∀ ε > 0, ∃ N, ∀ n ≥ N, eLpNorm (f n - f_lim) p μ ≤ ε

Tactic:
intro ε hε

Goal state after:
α : Type u_1
m : MeasurableSpace α
p : ℝ≥0∞
μ : Measure α
E : Type u_3
inst✝ : NormedAddCommGroup E
f : ℕ → α → E
hf : ∀ (n : ℕ), AEStronglyMeasurable (f n) μ
f_lim : α → E
B : ℕ → ℝ≥0∞
hB : ∑' (i : ℕ), B i ≠ ∞
h_cau : ∀ (N n m_1 : ℕ), N ≤ n → N ≤ m_1 → eLpNorm (f n - f m_1) p μ < B N
h_lim : ∀ᵐ (x : α) ∂μ, Tendsto (fun n ↦ f n x) atTop (𝓝 (f_lim x))
ε : ℝ≥0∞
hε : ε > 0
⊢ ∃ N, ∀ n ≥ N, eLpNorm (f n - f_lim) p μ ≤ ε
Module: Mathlib.Topology.Algebra.Module.Multilinear.Bounded

Goal state before:
pp: ι : Type u_1
𝕜 : Type u_2
F : Type u_3
E : ι → Type u_4
inst✝⁷ : NormedField 𝕜
inst✝⁶ : (i : ι) → AddCommGroup (E i)
inst✝⁵ : (i : ι) → Module 𝕜 (E i)
inst✝⁴ : (i : ι) → TopologicalSpace (E i)
inst✝³ : AddCommGroup F
inst✝² : Module 𝕜 F
inst✝¹ : TopologicalSpace F
inst✝ : Nonempty ι
s : Set ((i : ι) → E i)
hs : IsVonNBounded 𝕜 s
f : ContinuousMultilinearMap 𝕜 E F
V : Set F
hV : V ∈ 𝓝 0
h₁ : ¬∀ (c : 𝕜), ‖c‖ ≤ 1
x✝ : NontriviallyNormedField 𝕜 := { toNormedField := inst✝⁷, non_trivial := ⋯ }
I : Finset ι
t : (i : ι) → Set (E i)
ht₀ : ∀ (i : ι), t i ∈ 𝓝 0
hft : (↑I).pi t ⊆ ⇑f ⁻¹' V
c : ι → 𝕜
hc₀ : ∀ (i : ι), c i ≠ 0
hc : ∀ (i : ι) (c' : 𝕜), ‖c'‖ ≤ ‖c i‖ → ∀ x ∈ s, c' • x i ∈ t i
hc₀' : ∏ i ∈ I, c i ≠ 0
a : 𝕜
ha : a ∈ {y | ‖y‖ < ‖∏ i ∈ I, c i‖}
x : (i : ι) → E i
hx : x ∈ s
⊢ ((fun x ↦ a • x) ∘ ⇑f) x ∈ V

Tactic:
let ⟨i₀⟩ := ‹Nonempty ι›

Goal state after:
ι : Type u_1
𝕜 : Type u_2
F : Type u_3
E : ι → Type u_4
inst✝⁷ : NormedField 𝕜
inst✝⁶ : (i : ι) → AddCommGroup (E i)
inst✝⁵ : (i : ι) → Module 𝕜 (E i)
inst✝⁴ : (i : ι) → TopologicalSpace (E i)
inst✝³ : AddCommGroup F
inst✝² : Module 𝕜 F
inst✝¹ : TopologicalSpace F
inst✝ : Nonempty ι
s : Set ((i : ι) → E i)
hs : IsVonNBounded 𝕜 s
f : ContinuousMultilinearMap 𝕜 E F
V : Set F
hV : V ∈ 𝓝 0
h₁ : ¬∀ (c : 𝕜), ‖c‖ ≤ 1
x✝ : NontriviallyNormedField 𝕜 := { toNormedField := inst✝⁷, non_trivial := ⋯ }
I : Finset ι
t : (i : ι) → Set (E i)
ht₀ : ∀ (i : ι), t i ∈ 𝓝 0
hft : (↑I).pi t ⊆ ⇑f ⁻¹' V
c : ι → 𝕜
hc₀ : ∀ (i : ι), c i ≠ 0
hc : ∀ (i : ι) (c' : 𝕜), ‖c'‖ ≤ ‖c i‖ → ∀ x ∈ s, c' • x i ∈ t i
hc₀' : ∏ i ∈ I, c i ≠ 0
a : 𝕜
ha : a ∈ {y | ‖y‖ < ‖∏ i ∈ I, c i‖}
x : (i : ι) → E i
hx : x ∈ s
i₀ : ι
⊢ ((fun x ↦ a • x) ∘ ⇑f) x ∈ V